Work on having solid foundations in Statistics, Programming and Machine Learning.
Applied Machine Learning is having good skills in programming and feature engineering for which you need to know how to work around the data and to prepare it for the models.
Build end to end Data Science projects for your portfolio. Participate in kaggle hackathons, check out kaggle kernels and there are really good publications you could follow on Medium such as Towards Data Science. I would also advise blogging about what you learn.
Focus more on the Exploratory Data Analysis and feature engineering part, those are valuable skills. There are good books on it.